Multidisciplinary project involving natural language processing and machine learning for clinical language processing

涉及临床语言处理的自然语言处理和机器学习的多学科项目

• 批准号: 2675914
• 金额: --
• 依托单位: University of Sheffield
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2675914
• 关键词: Multidisciplinary; project; involving; natural; language

The focus is on proposing to automatically discover similarities among different morbidities that could lead to candidate illnesses for joint treatment. To go beyond combinations of diseases that may be well known in the clinical literature, this proposal aims to exhaustively compare similarities between diseases at a large scale to identify possible candidate combinations. This involves extracting relevant information about diseases from sources including medical taxonomies and encyclopedias and creating a representation for each of the conditions and their properties that allows for their comparison. In addition, techniques for identifying similarities between representations will be used for large-scale comparison of diseases according to their common characteristics, including symptoms, treatments and evolution. These will enable the discovery of candidate combinations of diseases that have similar characteristics and could have joint treatments.

重点是提出自动发现不同发病率之间的相似性，这可能导致联合治疗的候选疾病。为了超越可能在临床文献中众所周知的疾病组合，该提案旨在大规模详尽地比较疾病之间的相似性，以确定可能的候选组合。这涉及从包括医学分类学和百科全书在内的来源中提取有关疾病的相关信息，并为每种疾病及其属性创建一个表示，以便进行比较。此外，还将使用识别表征之间相似性的技术，根据疾病的共同特征，包括症状、治疗和演变，对疾病进行大规模比较。这将有助于发现具有相似特征并可能具有联合治疗的疾病的候选组合。